/ Home
Machine Learning Intern - Featurepreneur
Location:
Remote
Duration:
3-6 months
Company Overview:
Featurepreneur working with startups on making the minimum viable products integrating modern things like ML in weeks (not in months).
Job Description:
As a Machine Learning Intern at Featurepreneur, you will work closely with our data science team to develop and enhance machine learning models that drive our core products. This is a fantastic opportunity to gain hands-on experience in machine learning applications and contribute to projects impacting in house products like MentorAI.
Responsibilities:
Assist in the design and development of machine learning algorithms. Collaborate with senior data scientists to refine and improve existing models. Conduct data collection, preprocessing, and analysis. Implement models and monitor their performance. Participate in project meetings and contribute to problem-solving discussions. Prepare reports and presentations to communicate your findings and progress.
Qualifications:
- Currently pursuing a degree in Computer Science, Data Science, Statistics, or a related field.
- Basic understanding of machine learning concepts and algorithms.
- Experience with programming languages such as Python.
- Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, PyTorch, Pandas, Numpy).
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
Preferred Qualifications:
- Previous internship or project experience in machine learning or data analysis.
- Experience with data visualization tools and techniques.
- Willing to learn ML things in hours, not in days.
What We Offer:
- Hands-on experience with real-world machine learning projects.
- Mentorship from experienced data scientists and machine learning engineers.
- Opportunities to participate in workshops and training sessions to enhance your skills.
- A flexible, collaborative, and dynamic work environment.
- Monthly stipend will be provided
Application Process:
- Interested candidates should submit a resume to info@kactii.com
- Make sure your resume has github, linkedin, kaggle links.